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.Marc Andreessen 🇺🇸 on the "three-way Mexican standoff" between coders, PMs, and designers: "I'm seeing it in a bunch of the early leading edge companies in the Valley, they're circling around a job title loosely called 'builder,' or something like it. And basically the idea is that you had...

158,635 views • 4 days ago •via X (Twitter)

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Steve Jobs explains why it's dangerous for sales and marketing people to run tech companies: Jobs starts with PepsiCo and John Sculley: "At PepsiCo, they at most would change their product once every 10 years. To them, a new product was like a new-size bottle." In that world, sales and marketing people drove success and ran the company. For PepsiCo, that worked. But Jobs warns about what happens in tech: "The same thing can happen in technology companies that get monopolies like IBM and Xerox. When you have a monopoly market share, sales and marketing people end up running the companies." The danger? "The product people get driven out of the decision-making forums and the companies forget what it means to make great products. The product genius that brought them to that monopolistic position gets rotted out by people who have no conception of a good product versus a bad product, no conception of the craftsmanship required to turn a good idea into a good product, and no feeling in their hearts about wanting to really help the customers." Jobs uses Xerox as his cautionary tale, where marketing executives had "no clue" about the revolutionary technology they owned: "They grabbed defeat from the greatest victory in the computer industry. Xerox could have been the IBM of the '90s. Could have been the Microsoft of the '90s." The bottom line: Jobs argues that sales and marketing people can run companies where products don't change. But in technology, they'll hurt what made the company great.

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From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

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